AI IT Engineer

Overview:

We are seeking a technically strong and proactive AI IT Engineer to join our regional IT team in Singapore. This role blends AI-driven internal application development, enterprise systems integration, and hands-on IT support operations in a dynamic global environment. You will work closely with teams across regions to build internal AI applications, support enterprise IT infrastructure, and drive automation across systems and processes.

Key Responsibilities:

Provide hands-on IT support for end-user devices (Windows/macOS), networking, AV systems, and office IT infrastructure.

Maintain local IT infrastructure, WiFi, printers, access control systems, and coordinate with global IT teams for rollouts and upgrades.

Support onboarding/offboarding processes such as account creation, access management, and device provisioning.

Manage IT asset lifecycle: procurement, inventory, allocation, and decommissioning

Ensure IT operations follow security policies, compliance requirements, and ITSM best practices.

Build and maintain internal AI applications, including RAG pipelines, multi-agent workflows, and knowledge retrieval systems.

Develop and enhance graph databases, AI data pipelines, and enterprise API integrations (e.g., ServiceNow, Workday, Microsoft Graph).

Support testing, CI/CD automation, performance tuning, and documentation for internal IT applications.

Required Qualifications:

Bachelor's or Master's degree in Computer Science, Information Systems, Artificial Intelligence, or a related field

Strong communication skills and ability to read, speak, and write fluent Mandarin

Strong proficiency in at least one backend programming language: Python / Go / Node.js / Java

Familiarity with modern frontend frameworks (e.g., Next.js, Vue) & strong understanding of databases (MySQL / PostgreSQL / NoSQL), and Git workflows

Familiarity with AI applications, RAG workflows, or agent-based frameworks is advantageous.

Experience with tools such as LangChain, LlamaIndex, Autogen, Kubernetes, Docker, Prometheus, or Grafana is preferred.

Understanding of IT asset management, ITSM processes (e.g., ServiceNow, Jira), and enterprise IT infrastructure is beneficial.